Manager, Data Analytics - Disney Music Group - Remote Part-Time Opportunity at $18/Hour

Join the Magic of Disney: Become a Manager, Data Analytics in Our Music Group

Are you passionate about data, music, and innovation? Do you have a knack for turning numbers into compelling stories? We are seeking a talented and experienced Manager, Data Analytics to join our Disney Music Group (DMG) team. As a key member of our data analytics team, you will play a crucial role in driving business decisions through data-driven insights, developing statistical models, and analyzing large datasets. If you're excited about the prospect of working in a dynamic and fast-paced environment, we encourage you to apply for this part-time remote opportunity at $18/hour.

About Disney and the Music Group

The Walt Disney Organization, commonly known as Disney, is one of the world's largest and most iconic entertainment conglomerates. Established in 1923 by Walt Disney and Roy O. Disney, the company has grown to encompass a wide range of businesses and brands in the fields of entertainment, media, and theme parks. Disney Music Group (DMG) is a key part of this ecosystem, responsible for creating, producing, and distributing music content across various platforms.

Our Mission and Values

At Disney, we are committed to creating magic for our audiences, and we believe that our employees are the key to making this happen. We value innovation, creativity, collaboration, and a passion for storytelling. As a Manager, Data Analytics in our Music Group, you will be expected to embody these values and contribute to our mission of making Disney a leader in the entertainment industry.

Job Summary

The Manager, Data Analytics will be responsible for driving data-driven decision-making across the Disney Music Group. This will involve developing a deep understanding of client behaviors within music marketing, discovery, and utilization channels. The ideal candidate will have a strong background in data analysis, statistical modeling, and data visualization, as well as excellent communication and collaboration skills.

Key Responsibilities

• Drive data-driven approaches to solving complex business problems through data creation, analysis, and statistical modeling.
• Develop new features incorporating data across internal and external sources.
• Build and apply segmentation, regression, and classification models to derive insights.
• Contribute to key initiatives and new business opportunities by developing analytical models and frameworks to understand potential, performance drivers, and impact of environmental factors.
• Support data-informed business strategies by applying data mining, quantitative analysis, and data visualization to surface and raise key issues.
• Extract and develop data for analysis, securing, organizing, scrubbing, and controlling complex, large-scale data from various dynamic sources.
• Apply supervised or unsupervised learning techniques to derive, validate, and measure conclusions from data.
• Partner with cross-functional teams to identify opportunities and understand performance, driving meaningful and actionable insights.
• Contribute to business needs through continuous reporting and analysis to inform business, product, marketing, and sales decisions.
• Lead content performance and audience analysis for product releases, developing and tracking key metrics to measure success.
• Perform statistical analysis, such as KPI deep dives, behavioral segmentation, and customer journey analysis.
• Develop analytical pipelines for automated, flexible, repeatable, and integrated analysis using current big data models.
• Collaborate with Engineering and Product teams to execute on data projects.
• Contribute to solution discovery, design, build, and QA process, working on data models, database construction, ETL/ELT data pipelines, and validation boundaries.
• Lead and coach a team member, setting boundaries to maximize impact in the organization.

Requirements and Qualifications

Essential Capabilities:

• 3 years of data analysis experience.
• 3 years of business intelligence experience.
• Bachelor's degree in a quantitative field, including Statistics, Math, Physics, Computer Science, Engineering, or other related fields.
• Experience developing statistical models and analyses in an industry setting for business use cases.
• Applied knowledge of supervised and unsupervised learning techniques.
• Skill in controlling large, transactional datasets and interpreting data trends from multiple disparate data sources.
• Strong hands-on experience creating modern analytical solutions using scripting tools (Python/R).
• Proficiency in advanced SQL, large-scale data, and mathematical computing languages (PySpark).
• Experience with data mining in distributed systems (Spark/Databricks).
• Proficient in data analysis and visualization tools (Tableau/ Looker).
• Experience developing analytical software that scales analysis.
• Experience working with media performance data.
• Experience working with data in media industries.
• Strong experience documenting data requirements, rules, and assumptions.
• Experience communicating analytical concepts to diverse audiences.
• Passion for building clear, concise, and meaningful metrics.
• Proven track record of using data to deliver business value and presenting data-driven insights to business audiences.
• Experience influencing and collaborating with stakeholders across the organization.
• Strong time management skills with the ability to work in a fast-paced environment across multiple priorities.
• Strong attention to detail without losing sight of broader objectives.
• History of working independently, demonstrating creativity, and delivering results.
• Distinct fascination with music and the music industry.
• Strong experience with music streaming services (Spotify, Apple, Amazon Music, YouTube), social media platforms (TikTok, FB/Instagram), and emerging technologies (digital assistants/voice).

Preferred Qualifications:

• Experience driving data-driven projects across a wide cross-functional landscape.
• Experience assembling, managing, and motivating teams in essential support functions.
• Graduate degree in a quantitative field, including Statistics, Math, Physics, Computer Science, Engineering, or other related fields.

What We Offer

Compensation and Benefits:

As a part-time remote employee at Disney, you can expect a competitive hourly rate of $18, as well as a range of benefits, including:

• Opportunities for career growth and professional development.
• Comprehensive health and wellness benefits.
• 401(k) retirement plans with employer matching contributions.
• Paid time off, including vacation days, holidays, and sick leave.
• Employee discounts on Disney products and services.
• A dynamic and supportive work environment with a team of passionate and talented professionals.

How to Apply

If you're excited about the opportunity to join our team as a Manager, Data Analytics in our Music Group, please submit your application through our website. We look forward to hearing from you and exploring how you can contribute to the magic of Disney!

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